夏亦犁

发布者:蔡媛媛发布时间:2018-04-23浏览次数:1779

职称:副教授,硕士生导师

办公室:江宁无线谷A5-409

办公电话:025-84980409

Emailyili_xia@seu.edu.cn

学习经历:

20029-20066东南大学信息科学与工程学院学士

20069-20078英国帝国理工学院电气与电子工程系硕士

20079-20116英国帝国理工学院电气与电子工程系博士

工作经历:

20119-201212英国帝国理工学院电气与电子工程系博士后

20131-至今东南大学信息科学与工程学院副教授

教授课程:

盲信号处理导论(研讨)--本科三年级

研究方向:

1、统计信号处理

2、多维信号处理

3、自适应信号处理

4、人工智能及大数据分析

5、信号处理在通信及电力中的应用

获奖情况:

1、2014年江苏省双创人才

2、International   Symposium on Neural Networks (ISNN’10) 最优论文奖

论文著作:

[1]   Adaptive   Learning Methods for Nonlinear System Modelling. Chapter 12-Echo State   Networks for Multidimensional Data: Exploiting Noncircularity and Widely   Linear Models, Y. Xia, M. Xiang, Z. Li, and D. P. Mandic, Elsevier, 2018.

[2] Cooperative and Graph Signal Processing.   Chapter 28-Smart Grids: Diffusion Augmented Extended Kalman Filtering for   Adaptive Frequency Estimation in Distributed Power Systems, Y. Xia, S. Kanna,   and D. P. Mandic, Elsevier, 2018.

[3] Y. Xia and D. P.   Mandic, “Augmented performance   bounds on strictly linear and widely linear estimators with complex data,” IEEE Trans. Signal Process., vol. 66, 2018.

[4] Y. Xia, S. Kanna,   and D. P. Mandic, “Maximum likelihood parameter estimation of unbalanced   three-phase power signals ,” IEEE Trans.   Instrum. Meas., vol. 67, 2018.

[5] Y. Xia, S. C.   Douglas, and D. P. Mandic, “Performance analysis of the deficient length augmented CLMS   algorithm for second order noncircular complex signals,” Signal Process., vol. 144, pp. 214-225, 2018.

[6] Y. Xia and D. P.   Mandic, “ A full mean square analysis of CLMS for second order   noncircular inputs,” IEEE Trans. Signal Process.,   vol. 65, no. 21, pp. 5578-5590, 2017.

[7] Y. Xia   and D. P. Mandic, “Complementary mean square analysis of augmented CLMS for   second-order noncircular Gaussian signals,” IEEE Signal Process., Lett., vol.   24, no. 9, pp. 1413-1417, 2017.

[8] Y. Xia,   Y. He, K. Wang, W. Pei, Z. Blazic, and D. P. Mandic, “A complex least squares enhanced smart DFT technique for power system   frequency estimation,” IEEE   Trans. Power Del., vol. 32, no. 3, pp. 1270-1278, 2017.

[9] Z. Li,   Y. Xia, W. Pei, Y. Huang, and D. P. Mandic, “Noncircular measurement and   mitigation of I/Q imbalance for OFDM-based WLAN transmitters,” IEEE Trans.   Instrum. Meas., vol. 66, no. 3, pp. 383-393, 2017.

[10] D. Xu,   Y. Xia, and D. P. Mandic, “Optimization in quaternion dynamic systems:   Gradient, Hessian, and learning algorithms,” IEEE Trans. Neural Netw., Learn.   Syst., vol. 27, no. 2, pp. 249-261, 2016.

[11] J. Hao,   W. Pei, K. Wang, Y. Xia, and C. Pu, “Iterative optimal design for fast filter bank with low complexity,”   IEICE Trans. Fund., Electron. Comm., Comput. Sci., vol. E99-A, no. 2, pp.   638-642, 2016.

[12] J. Hao,   K. Wang, W. Pei, and Y. Xia, “Baseband signal processing of digital phosphor technology   with high accuracy,” IEICE Electron. Express, vol. 13,   no. 2, pp. 1-7, 2016.

[13] J. Hao, W. Pei, K. Wang, and Y.   Xia, “ Two-stage iterative design for fast filter bank with low complexity,”   Electron. Lett., vol. 52, no. 4, pp. 287-289, 2016.

[14] Y. Xia,   C. Jahanchahi, and D. P. Mandic, “Quaternion-valued echo state networks,”   IEEE Trans. Neural Netw., Learn. Syst., vol. 26, no. 4, pp. 663-673, 2015.

[15] S.   Kanna, D. H. Dini, Y. Xia, S. Y. Hui, and D. P. Mandic, “Distributed widely   linear Kalman filtering for frequency estimation in power networks,” IEEE Trans. Signal Inform. Process., Netw., vol.   1, no. 1, pp. 45-57, 2015.

[16] Y. Xia,   Z. Blazic, and D. P. Mandic, “Complex-valued least squares frequency estimation for unbalanced   power systems,” IEEE Trans. Instrum. Meas., vol. 64, no. 3, pp. 638-648,   2015.

[17] Y. Xia, C.   Jahanchahi, T. Nitta, and D. P. Mandic, “Performance bounds of quaternion   estimators,” IEEE Trans. Neural Netw., Learn. Syst., vol. 26, no. 12, pp.   3287-3292, 2015.

[18] J. Hao, W.   Pei, Y. Xia, and K. Wang, “Adaptive pulse signal shaping of tag response   signal for RFID tag test system,” Electron. Lett., vol. 50, no. 17, pp.   1182-1184, 2014.

[19] Y. Xia and   D. P. Mandic, “A widely linear least mean phase algorithm for adaptive frequency   estimation of unbalanced power systems,” International J. Electr. Power Energ. Syst.,   vol. 54, pp. 367-375, 2014.

[20] Y. Xia and   D. P. Mandic, “Augmented MVDR spectrum-based frequency estimation for unbalanced   power systems,” IEEE Trans.   Instrum. Meas., vol. 62, no. 7, pp. 1917-1926, 2013.

[21] Y. Xia, S.   C. Douglas, and D. P. Mandic, “Adaptive frequency estimation in smart grid applications:   Exploiting noncircularity and widely linear adaptive estimators,” IEEE Signal Process. Mag., vol. 29, no. 5, pp.   44-54, 2012.

[22] L. Li, Y.   Xia, B. Jelfs, J. Cao, and D. P. Mandic, “Modelling of brain consciousness   based on collaborative adaptive filters,” Neurocomput., vol. 76, no. 1, pp.   36-43, 2012.

[23] Y. Xia and   D. P. Mandic, “Widely linear frequency estimation of unbalanced three-phase power   systems,” IEEE Trans. Instrum. Meas., vol. 61, no. 1, pp. 74-83, 2012.

[22] Y. Xia, D.   P. Mandic, and A. H. Sayed, “An adaptive diffusion augmented CLMS algorithm   for distributed filtering of noncircular complex signals,” IEEE Signal   Process. Lett., vol. 18, no. 11, pp. 659-662, 2011.

[24] Y. Xia, B.   Jelfs, M. M. Van Hull, J. C. Principe, and D. P. Mandic, “An augmented echo state   network

for nonlinear   adaptive filtering of complex noncircular signals,” IEEE Trans. Neural Netw.,   vol. 22, no. 1, pp. 74-83, 2011.

[25] Y. Xia, C.   Cheong-Took, and D. P. Mandic, “An augmented affine projection algorithm for   the filtering of complex noncircular signals,” Signal Process., vol. 90, no.   6, pp. 1788-1799, 2010.

  

  

  

  

  

科研项目:

项目名称

项目类别

项目时间

工作类别

项目金额

基于非圆复数的自适应滤波算法完备均方性能分析

国家自然科学基金项目

2018.01-2021.12

基础研究

XX

基于电压离散傅立叶联合功率谱的非平衡电力系统频率估计技术研究

国家自然科学基金项目

2015.01-2017.12

基础研究

XX

基于电压联合周期图最大化的非平衡电力系统频率估计技术研究

江苏省自然科学基金项目

2014.07-2017.06

基础研究

XX

高精度频率估计算法研究

教育部基金项目

2015.07-2017.06

基础研究

XX

输变电工程数据管理关键技术研究

企事业委托项目

2017.01-2018.12

应用研究

XX

基于大数据的配电网中短期电压越限预警及优化治理关键技术研究

企事业委托项目

2017.01-2018.12

应用研究

XX

专利:

专利号

专利名称

专利类型

201510098640.5

一种发射机中IQ不平衡的补偿方法和装置

发明专利受理

201710307246.7

基于宽线性最小方差无失真响应的非平衡电力系统频率估计方法

发明专利受理

201610159351.6

基于虚拟仪器的RFID标签空中接口协议符合性自动化测试方法

发明专利受理